Ebook: Advances in Neural Networks – ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 2004, Proceedings, Part I

This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China during August 19–21, 2004. ISNN 2004 received over 800 submissions from authors in ?ve continents (Asia, Europe, North America, South America, and Oceania), and 23 countries and regions (mainland China, Hong Kong, Taiwan, South Korea, Japan, Singapore, India, Iran, Israel, Turkey, H- gary, Poland, Germany, France, Belgium, Spain, UK, USA, Canada, Mexico, Venezuela, Chile, and Australia). Based on reviews, the Program Committee selected 329 hi- quality papers for presentation at ISNN 2004 and publication in the proceedings. The papers are organized into many topical sections under 11 major categories (theore- cal analysis; learning and optimization; support vector machines; blind source sepa- tion, independent component analysis, and principal component analysis; clustering and classi?cation; robotics and control; telecommunications; signal, image and time series processing; detection, diagnostics, and computer security; biomedical applications; and other applications) covering the whole spectrum of the recent neural network research and development. In addition to the numerous contributed papers, ?ve distinguished scholars were invited to give plenary speeches at ISNN 2004. ISNN 2004 was an inaugural event. It brought together a few hundred researchers, educators, scientists, and practitioners to the beautiful coastal city Dalian in northeastern China.

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The two volume set LNCS 3173/3174 constitutes the refereed proceedings of the International Symposium on Neural Networks, ISNN 2004, held in Dalian, China in August 2004.

The 329 papers presented were carefully reviewed and selected from more than 800 submissions. The papers span the entire scope of neural computing and its applications; they are organized in 11 major topical parts on theoretical analysis; learning and optimization; support vector machines; blind source separation, independent component analysis, and principal component analysis; clustering and classification; robotics and control; telecommunications; signal image, and time series analysis; biomedical applications; detection, diagnosis, and computer security; and other applications.

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The two volume set LNCS 3173/3174 constitutes the refereed proceedings of the International Symposium on Neural Networks, ISNN 2004, held in Dalian, China in August 2004.

The 329 papers presented were carefully reviewed and selected from more than 800 submissions. The papers span the entire scope of neural computing and its applications; they are organized in 11 major topical parts on theoretical analysis; learning and optimization; support vector machines; blind source separation, independent component analysis, and principal component analysis; clustering and classification; robotics and control; telecommunications; signal image, and time series analysis; biomedical applications; detection, diagnosis, and computer security; and other applications.

Content:
Front Matter....Pages -
Geometric Interpretation of Nonlinear Approximation Capability for Feedforward Neural Networks....Pages 1-6
Mutual Information and Topology 1: Asymmetric Neural Network....Pages 7-13
Mutual Information and Topology 2: Symmetric Network....Pages 14-19
Simplified PCNN and Its Periodic Solutions....Pages 20-25
On Robust Periodicity of Delayed Dynamical Systems with Time-Varying Parameters....Pages 26-31
Delay-Dependent Criteria for Global Stability of Delayed Neural Network System....Pages 32-37
Stability Analysis of Uncertain Neural Networks with Delay....Pages 38-43
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays....Pages 44-48
Criteria for Stability in Neural Network Models with Iterative Maps....Pages 49-54
Exponential Stability Analysis for Neural Network with Parameter Fluctuations....Pages 55-60
Local Stability and Bifurcation in a Model of Delayed Neural Network....Pages 61-66
On the Asymptotic Stability of Non-autonomous Delayed Neural Networks....Pages 67-71
Global Exponential Stability of Cohen-Grossberg Neural Networks with Multiple Time-Varying Delays ....Pages 72-77
Stability of Stochastic Cohen-Grossberg Neural Networks....Pages 78-83
A Novel Approach to Exponential Stability Analysis of Cohen-Grossberg Neural Networks....Pages 84-89
Analysis for Global Robust Stability of Cohen-Grossberg Neural Networks with Multiple Delays....Pages 90-95
On Robust Stability of BAM Neural Networks with Constant Delays....Pages 96-101
Absolutely Exponential Stability of BAM Neural Networks with Distributed Delays....Pages 102-107
Stability Analysis of Discrete-Time Cellular Neural Networks....Pages 108-113
Novel Exponential Stability Criteria for Fuzzy Cellular Neural Networks with Time-Varying Delay....Pages 114-119
Stability of Discrete Hopfield Networks with Delay in Serial Mode....Pages 120-125
Further Results for an Estimation of Upperbound of Delays for Delayed Neural Networks....Pages 126-131
Synchronization in Two Uncoupled Chaotic Neurons....Pages 132-137
Robust Synchronization of Coupled Delayed Recurrent Neural Networks....Pages 138-143
Self-Optimizing Neural Networks....Pages 144-149
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs....Pages 150-155
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies....Pages 156-161
On Soft Learning Vector Quantization Based on Reformulation....Pages 162-167
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms....Pages 168-173
Fuzzy-Kernel Learning Vector Quantization....Pages 174-179
Genetic Generation of High-Degree-of-Freedom Feed-Forward Neural Networks....Pages 180-185
Self-Organizing Feature Map Based Data Mining....Pages 186-192
Diffusion and Growing Self-Organizing Map: A Nitric Oxide Based Neural Model....Pages 193-198
A New Adaptive Self-Organizing Map....Pages 199-204
Evolving Flexible Neural Networks Using Ant Programming and PSO Algorithm....Pages 205-210
Surrogating Neurons in an Associative Chaotic Neural Network....Pages 211-216
Ensembles of RBFs Trained by Gradient Descent....Pages 217-222
Gradient Descent Training of Radial Basis Functions....Pages 223-228
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training....Pages 229-234
A Regularized Line Search Tunneling for Efficient Neural Network Learning....Pages 235-238
Transductive Learning Machine Based on the Affinity-Rule for Semi-supervised Problems and Its Algorithm....Pages 239-243
A Learning Algorithm with Gaussian Regularizer for Kernel Neuron....Pages 244-251
An Effective Learning Algorithm of Synergetic Neural Network....Pages 252-257
Sparse Bayesian Learning Based on an Efficient Subset Selection....Pages 258-263
A Novel Fuzzy Neural Network with Fast Training and Accurate Generalization....Pages 264-269
Tuning Neuro-Fuzzy Function Approximator by Tabu Search....Pages 270-275
Finite Convergence of MRI Neural Network for Linearly Separable Training Patterns....Pages 276-281
A Rapid Two-Step Learning Algorithm for Spline Activation Function Neural Networks with the Application on Biped Gait Recognition....Pages 282-285
An Online Feature Learning Algorithm Using HCI-Based Reinforcement Learning....Pages 286-292
Optimizing the Weights of Neural Networks Based on Antibody Clonal Simulated Annealing Algorithm....Pages 293-298
Backpropagation Analysis of the Limited Precision on High-Order Function Neural Networks....Pages 299-304
LMS Adaptive Notch Filter Design Based on Immune Algorithm....Pages 305-310
Training Radial Basis Function Networks with Particle Swarms....Pages 311-316
Optimizing Weights by Genetic Algorithm for Neural Network Ensemble....Pages 317-322
Survival Density Particle Swarm Optimization for Neural Network Training....Pages 323-331
Modified Error Function with Added Terms for the Backpropagation Algorithm....Pages 332-337
Robust Constrained-LMS Algorithm....Pages 338-343
A Novel Three-Phase Algorithm for RBF Neural Network Center Selection....Pages 344-349
Editing Training Data for kNN Classifiers with Neural Network Ensemble....Pages 350-355
Learning Long-Term Dependencies in Segmented Memory Recurrent Neural Networks....Pages 356-361
An Optimal Neural-Network Model for Learning Posterior Probability Functions from Observations....Pages 362-369
The Layered Feed-Forward Neural Networks and Its Rule Extraction....Pages 370-376
Analysing Contributions of Components and Factors to Pork Odour Using Structural Learning with Forgetting Method....Pages 377-382
On Multivariate Calibration Problems....Pages 383-388
Control of Associative Chaotic Neural Networks Using a Reinforcement Learning....Pages 389-394
A Method to Improve the Transiently Chaotic Neural Network....Pages 395-400
A New Neural Network for Nonlinear Constrained Optimization Problems....Pages 401-405
Delay PCNN and Its Application for Optimization....Pages 406-412
A New Parallel Improvement Algorithm for Maximum Cut Problem....Pages 413-418
A New Neural Network Algorithm for Clique Vertex-Partition Problem....Pages 419-424
An Algorithm Based on Hopfield Network Learning for Minimum Vertex Cover Problem....Pages 425-429
A Subgraph Isomorphism Algorithm Based on Hopfield Neural Network....Pages 430-435
A Positively Self-Feedbacked Hopfield Neural Network for N-Queens Problem....Pages 436-441
NN-Based GA for Engineering Optimization....Pages 442-447
Applying GENET to the JSSCSOP....Pages 448-453
Improvements to Bennett’s Nearest Point Algorithm for Support Vector Machines....Pages 454-461
Distance-Based Selection of Potential Support Vectors by Kernel Matrix....Pages 462-467
A Learning Method for Robust Support Vector Machines....Pages 468-473
A Cascade Method for Reducing Training Time and the Number of Support Vectors....Pages 474-479
Minimal Enclosing Sphere Estimation and Its Application to SVMs Model Selection....Pages 480-486
Constructing Support Vector Classifiers with Unlabeled Data....Pages 487-493
Nested Buffer SMO Algorithm for Training Support Vector Classifiers....Pages 494-499
Support Vector Classifier with a Fuzzy-Value Class Label....Pages 500-505
RBF Kernel Based Support Vector Machine with Universal Approximation and Its Application....Pages 506-511
A Practical Parameters Selection Method for SVM....Pages 512-517
Ho–Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers –An Application....Pages 518-523
Radar HRR Profiles Recognition Based on SVM with Power-Transformed-Correlation Kernel....Pages 524-530
Hydrocarbon Reservoir Prediction Using Support Vector Machines....Pages 531-536
Toxic Vapor Classification and Concentration Estimation for Space Shuttle and International Space Station....Pages 537-542
Optimal Watermark Detection Based on Support Vector Machines....Pages 543-551
Online LS-SVM Learning for Classification Problems Based on Incremental Chunk....Pages 552-557
A Novel Approach to Clustering Analysis Based on Support Vector Machine....Pages 558-564
Application of Support Vector Machine in Queuing System....Pages 565-570
Modelling of Chaotic Systems with Novel Weighted Recurrent Least Squares Support Vector Machines....Pages 571-577
Nonlinear System Identification Based on an Improved Support Vector Regression Estimator....Pages 578-585
Anomaly Detection Using Support Vector Machines....Pages 586-591
Power Plant Boiler Air Preheater Hot Spots Detection System Based on Least Square Support Vector Machines....Pages 592-597
Support Vector Machine Multiuser Detector for TD-SCDMA Communication System in Multipath Channels....Pages 598-604
Eyes Location by Hierarchical SVM Classifiers....Pages 605-610
Classification of Stellar Spectral Data Using SVM....Pages 611-615
Iris Recognition Using Support Vector Machines....Pages 616-621
Heuristic Genetic Algorithm-Based Support Vector Classifier for Recognition of Remote Sensing Images....Pages 622-628
Landmine Feature Extraction and Classification of GPR Data Based on SVM Method....Pages 629-635
Occupant Classification for Smart Airbag Using Stereovision and Support Vector Machines....Pages 636-641
Support Vector Machine Committee for Classification....Pages 642-647
Automatic Modulation Classification by Support Vector Machines....Pages 648-653
Blind Source Separation Using for Time-Delay Direction Finding....Pages 654-659
Frequency-Domain Separation Algorithms for Instantaneous Mixtures....Pages 660-665
Cumulant-Based Blind Separation of Convolutive Mixtures....Pages 666-671
A New Blind Source Separation Method Based on Fractional Lower Order Statistics and Neural Network....Pages 672-677
A Clustering Approach for Blind Source Separation with More Sources than Mixtures....Pages 678-683
A Blind Source Separation Algorithm with Linear Prediction Filters....Pages 684-689
A Blind Source Separation Based Micro Gas Sensor Array Modeling Method....Pages 690-695
A Novel Denoising Algorithm Based on Feedforward Multilayer Blind Separation....Pages 696-701
The Existence of Spurious Equilibrium in FastICA....Pages 702-707
Hardware Implementation of Pulsed Neural Networks Based on Delta-Sigma Modulator for ICA....Pages 708-713
Study on Object Recognition Based on Independent Component Analysis....Pages 714-719
Application of ICA Method for Detecting Functional MRI Activation Data....Pages 720-725
Single-Trial Estimation of Multi-channel VEP Signals Using Independent Component Analysis....Pages 726-731
Data Hiding in Independent Components of Video....Pages 732-737
Multisensor Data Fusion Based on Independent Component Analysis for Fault Diagnosis of Rotor....Pages 738-743
Substructural Damage Detection Using Neural Networks and ICA....Pages 744-749
Speech Segregation Using Constrained ICA....Pages 750-754
Adaptive RLS Implementation of Non-negative PCA Algorithm for Blind Source Separation....Pages 755-760
Progressive Principal Component Analysis....Pages 761-767
Extracting Target Information in Multispectral Images Using a Modified KPCA Approach....Pages 768-773
Use PCA Neural Network to Extract the PN Sequence in Lower SNR DS/SS Signals....Pages 774-779
Hierarchical PCA-NN for Retrieving the Optical Properties of Two-Layer Tissue Model....Pages 780-785
Principal Component Analysis Neural Network Based Probabilistic Tracking of Unpaved Road....Pages 786-791
Chemical Separation Process Monitoring Based on Nonlinear Principal Component Analysis....Pages 792-797
An Adjusted Gaussian Skin-Color Model Based on Principal Component Analysis....Pages 798-803
Convergence Analysis for Oja+ MCA Learning Algorithm....Pages 804-809
On the Discrete Time Dynamics of the MCA Neural Networks....Pages 810-814
The Cook Projection Index Estimation Using the Wavelet Kernel Function....Pages 815-821
Automatic Cluster Number Determination via BYY Harmony Learning....Pages 822-827
Unsupervised Learning for Hierarchical Clustering Using Statistical Information....Pages 828-833
Document Clustering Algorithm Based on Tree-Structured Growing Self-Organizing Feature Map....Pages 834-839
Improved SOM Clustering for Software Component Catalogue....Pages 840-845
Classification by Multilayer Feedforward Ensembles....Pages 846-851
Robust Face Recognition from a Single Training Image per Person with Kernel-Based SOM-Face....Pages 852-857
Unsupervised Feature Selection for Multi-class Object Detection Using Convolutional Neural Networks....Pages 858-863
Recurrent Network as a Nonlinear Line Attractor for Skin Color Association....Pages 864-869
A Bayesian Classifier by Using the Adaptive Construct Algorithm of the RBF Networks....Pages 870-875
An Improved Analytical Center Machine for Classification....Pages 876-881
Analysis of Fault Tolerance of a Combining Classifier....Pages 882-887
Training Multilayer Perceptron with Multiple Classifier Systems....Pages 888-893
Learning the Supervised NLDR Mapping for Classification....Pages 894-899
Comparison with Two Classification Algorithms of Remote Sensing Image Based on Neural Network....Pages 900-905
Some Experiments with Ensembles of Neural Networks for Classification of Hyperspectral Images....Pages 906-911
SAR Image Recognition Using Synergetic Neural Networks Based on Immune Clonal Programming....Pages 912-917
Speaker Identification Using Reduced RBF Networks Array....Pages 918-923
Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks....Pages 924-929
Automatic Digital Modulation Recognition Using Wavelet Transform and Neural Networks....Pages 930-935
Local Face Recognition Based on the Combination of ICA and NFL....Pages 936-940
Facial Expression Recognition Using Kernel Discriminant Plane....Pages 941-946
Application of CMAC-Based Networks on Medical Image Classification....Pages 947-952
Seismic Pattern Recognition of Nuclear Explosion Based on Generalization Learning Algorithm of BP Network and Genetic Algorithm....Pages 953-958
A Remote Sensing Image Classification Method Using Color and Texture Feature....Pages 959-964
Remote Sensing Image Classification Based on Evidence Theory and Neural Networks....Pages 965-970
Neural Networks in Detection and Identification of Littoral Oil Pollution by Remote Sensing ....Pages 971-976
Identifying Pronunciation-Translated Names from Chinese Texts Based on Support Vector Machines....Pages 977-982
FPGA Implementation of Feature Extraction and Neural Network Classifier for Handwritten Digit Recognition....Pages 983-987
Replicator Neural Networks for Outlier Modeling in Segmental Speech Recognition....Pages 988-995
A Novel Approach to Stellar Recognition by Combining EKF and RBF Net....Pages 996-1001
Pattern Recognition Based on Stability of Discrete Time Cellular Neural Networks....Pages 1002-1007
The Recognition of the Vehicle License Plate Based on Modular Networks....Pages 1008-1014
Neural Network Associator for Images and Their Chinese Characters....Pages 1015-1020
Exploring Various Features to Optimize Hot Topic Retrieval on WEB....Pages 1021-1024
Back Matter....Pages 1025-1031
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